Overview

Dataset statistics

Number of variables7
Number of observations122
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.0 KiB
Average record size in memory59.1 B

Variable types

Numeric2
Text4
Categorical1

Dataset

Description부산광역시_강서구_음식물류폐기물다량배출사업장현황_20230622
Author부산광역시 강서구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15034231

Alerts

사업장 구분 is highly imbalanced (82.6%)Imbalance
연번 has unique valuesUnique
상호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:40:34.306775
Analysis finished2023-12-10 16:40:35.330242
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.5
Minimum1
Maximum122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:40:35.399085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.05
Q131.25
median61.5
Q391.75
95-th percentile115.95
Maximum122
Range121
Interquartile range (IQR)60.5

Descriptive statistics

Standard deviation35.362409
Coefficient of variation (CV)0.57499853
Kurtosis-1.2
Mean61.5
Median Absolute Deviation (MAD)30.5
Skewness0
Sum7503
Variance1250.5
MonotonicityStrictly increasing
2023-12-11T01:40:35.530140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
93 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
Other values (112) 112
91.8%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%
113 1
0.8%

상호
Text

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T01:40:35.751958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length10.180328
Min length3

Characters and Unicode

Total characters1242
Distinct characters239
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)100.0%

Sample

1st row보광유치원
2nd row명호초등학교
3rd row부산혜원학교
4th row두빛나래강서브라이트점
5th row부산강서고등학교
ValueCountFrequency (%)
보광유치원 1
 
0.8%
명일초등학교 1
 
0.8%
㈜녹채원부산교통공사대저사업소점 1
 
0.8%
㈜대웅부산기계조합공동식당본관 1
 
0.8%
㈜풀무원푸드앤컬처bnk금융그룹it센터 1
 
0.8%
㈜새손우진정기 1
 
0.8%
씨제이프레쉬웨이㈜디에스알점 1
 
0.8%
㈜한솥밥푸드서비스차량등록사업소점 1
 
0.8%
덕문중고등학교 1
 
0.8%
주)호성식품태광점 1
 
0.8%
Other values (112) 112
91.8%
2023-12-11T01:40:36.138181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 56
 
4.5%
산 39
 
3.1%
원 32
 
2.6%
부 31
 
2.5%
교 31
 
2.5%
점 30
 
2.4%
학 29
 
2.3%
푸 28
 
2.3%
드 25
 
2.0%
이 22
 
1.8%
Other values (229) 919
74.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1117
89.9%
Other Symbol 56
 
4.5%
Uppercase Letter 27
 
2.2%
Open Punctuation 17
 
1.4%
Close Punctuation 17
 
1.4%
Decimal Number 7
 
0.6%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 39
 
3.5%
원 32
 
2.9%
부 31
 
2.8%
교 31
 
2.8%
점 30
 
2.7%
학 29
 
2.6%
푸 28
 
2.5%
드 25
 
2.2%
이 22
 
2.0%
스 22
 
2.0%
Other values (205) 828
74.1%
Uppercase Letter
ValueCountFrequency (%)
K 5
18.5%
T 4
14.8%
N 4
14.8%
B 2
 
7.4%
C 2
 
7.4%
E 2
 
7.4%
S 2
 
7.4%
I 1
 
3.7%
O 1
 
3.7%
F 1
 
3.7%
Other values (3) 3
11.1%
Decimal Number
ValueCountFrequency (%)
3 2
28.6%
1 2
28.6%
2 1
14.3%
5 1
14.3%
6 1
14.3%
Open Punctuation
ValueCountFrequency (%)
( 16
94.1%
[ 1
 
5.9%
Close Punctuation
ValueCountFrequency (%)
) 16
94.1%
] 1
 
5.9%
Other Symbol
ValueCountFrequency (%)
㈜ 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1173
94.4%
Common 42
 
3.4%
Latin 27
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 56
 
4.8%
산 39
 
3.3%
원 32
 
2.7%
부 31
 
2.6%
교 31
 
2.6%
점 30
 
2.6%
학 29
 
2.5%
푸 28
 
2.4%
드 25
 
2.1%
이 22
 
1.9%
Other values (206) 850
72.5%
Latin
ValueCountFrequency (%)
K 5
18.5%
T 4
14.8%
N 4
14.8%
B 2
 
7.4%
C 2
 
7.4%
E 2
 
7.4%
S 2
 
7.4%
I 1
 
3.7%
O 1
 
3.7%
F 1
 
3.7%
Other values (3) 3
11.1%
Common
ValueCountFrequency (%)
( 16
38.1%
) 16
38.1%
3 2
 
4.8%
1 2
 
4.8%
2 1
 
2.4%
5 1
 
2.4%
6 1
 
2.4%
- 1
 
2.4%
] 1
 
2.4%
[ 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1117
89.9%
ASCII 69
 
5.6%
None 56
 
4.5%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 56
100.0%
Hangul
ValueCountFrequency (%)
산 39
 
3.5%
원 32
 
2.9%
부 31
 
2.8%
교 31
 
2.8%
점 30
 
2.7%
학 29
 
2.6%
푸 28
 
2.5%
드 25
 
2.2%
이 22
 
2.0%
스 22
 
2.0%
Other values (205) 828
74.1%
ASCII
ValueCountFrequency (%)
( 16
23.2%
) 16
23.2%
K 5
 
7.2%
T 4
 
5.8%
N 4
 
5.8%
3 2
 
2.9%
1 2
 
2.9%
B 2
 
2.9%
C 2
 
2.9%
E 2
 
2.9%
Other values (13) 14
20.3%

소재지
Text

Distinct121
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T01:40:36.349567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length32
Mean length25.295082
Min length10

Characters and Unicode

Total characters3086
Distinct characters109
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)98.4%

Sample

1st row부산광역시 강서구 공항진입로 28(대저2동)
2nd row부산광역시 강서구 명지오션시티2로 41(명지2동)
3rd row부산광역시 강서구 공항로 1319(대저1동)
4th row부산광역시 강서구 공항로 811번길 10(대저2동)
5th row부산광역시 강서구 공항로1309번길96-7(대저2동)
ValueCountFrequency (%)
강서구 117
24.3%
부산광역시 110
22.9%
부산 6
 
1.2%
신항남로 4
 
0.8%
미음산단로 3
 
0.6%
공항로 3
 
0.6%
송정동 3
 
0.6%
71 3
 
0.6%
명지오션시티2로 3
 
0.6%
가락대로 3
 
0.6%
Other values (203) 226
47.0%
2023-12-11T01:40:36.724216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
377
 
12.2%
산 210
 
6.8%
시 124
 
4.0%
구 123
 
4.0%
강 120
 
3.9%
부 119
 
3.9%
로 118
 
3.8%
서 117
 
3.8%
1 111
 
3.6%
동 111
 
3.6%
Other values (99) 1556
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1951
63.2%
Decimal Number 533
 
17.3%
Space Separator 377
 
12.2%
Close Punctuation 98
 
3.2%
Open Punctuation 98
 
3.2%
Other Punctuation 15
 
0.5%
Dash Punctuation 11
 
0.4%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 210
 
10.8%
시 124
 
6.4%
구 123
 
6.3%
강 120
 
6.2%
부 119
 
6.1%
로 118
 
6.0%
서 117
 
6.0%
동 111
 
5.7%
광 111
 
5.7%
역 110
 
5.6%
Other values (81) 688
35.3%
Decimal Number
ValueCountFrequency (%)
1 111
20.8%
2 94
17.6%
3 54
10.1%
6 52
9.8%
5 46
8.6%
7 44
 
8.3%
4 43
 
8.1%
9 39
 
7.3%
8 28
 
5.3%
0 22
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
N 1
33.3%
P 1
33.3%
Space Separator
ValueCountFrequency (%)
377
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Open Punctuation
ValueCountFrequency (%)
( 98
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1951
63.2%
Common 1132
36.7%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 210
 
10.8%
시 124
 
6.4%
구 123
 
6.3%
강 120
 
6.2%
부 119
 
6.1%
로 118
 
6.0%
서 117
 
6.0%
동 111
 
5.7%
광 111
 
5.7%
역 110
 
5.6%
Other values (81) 688
35.3%
Common
ValueCountFrequency (%)
377
33.3%
1 111
 
9.8%
) 98
 
8.7%
( 98
 
8.7%
2 94
 
8.3%
3 54
 
4.8%
6 52
 
4.6%
5 46
 
4.1%
7 44
 
3.9%
4 43
 
3.8%
Other values (5) 115
 
10.2%
Latin
ValueCountFrequency (%)
C 1
33.3%
N 1
33.3%
P 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1951
63.2%
ASCII 1135
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
377
33.2%
1 111
 
9.8%
) 98
 
8.6%
( 98
 
8.6%
2 94
 
8.3%
3 54
 
4.8%
6 52
 
4.6%
5 46
 
4.1%
7 44
 
3.9%
4 43
 
3.8%
Other values (8) 118
 
10.4%
Hangul
ValueCountFrequency (%)
산 210
 
10.8%
시 124
 
6.4%
구 123
 
6.3%
강 120
 
6.2%
부 119
 
6.1%
로 118
 
6.0%
서 117
 
6.0%
동 111
 
5.7%
광 111
 
5.7%
역 110
 
5.6%
Other values (81) 688
35.3%

대표자
Text

Distinct79
Distinct (%)64.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T01:40:36.975545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.1557377
Min length2

Characters and Unicode

Total characters385
Distinct characters106
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)54.1%

Sample

1st row박봉호
2nd row최석진
3rd row학교장
4th row김기민+이윤서
5th row학교장
ValueCountFrequency (%)
학교장 13
 
10.7%
이우봉 7
 
5.7%
김종문 6
 
4.9%
신영수 5
 
4.1%
조수연 4
 
3.3%
이석균 4
 
3.3%
권인태 3
 
2.5%
백갑문 3
 
2.5%
김길수 3
 
2.5%
박기홍 2
 
1.6%
Other values (69) 72
59.0%
2023-12-11T01:40:37.393512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 25
 
6.5%
교 17
 
4.4%
학 16
 
4.2%
김 16
 
4.2%
장 15
 
3.9%
문 14
 
3.6%
수 13
 
3.4%
정 10
 
2.6%
우 9
 
2.3%
봉 9
 
2.3%
Other values (96) 241
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 383
99.5%
Math Symbol 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 25
 
6.5%
교 17
 
4.4%
학 16
 
4.2%
김 16
 
4.2%
장 15
 
3.9%
문 14
 
3.7%
수 13
 
3.4%
정 10
 
2.6%
우 9
 
2.3%
봉 9
 
2.3%
Other values (95) 239
62.4%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
99.5%
Common 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 25
 
6.5%
교 17
 
4.4%
학 16
 
4.2%
김 16
 
4.2%
장 15
 
3.9%
문 14
 
3.7%
수 13
 
3.4%
정 10
 
2.6%
우 9
 
2.3%
봉 9
 
2.3%
Other values (95) 239
62.4%
Common
ValueCountFrequency (%)
+ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 383
99.5%
ASCII 2
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 25
 
6.5%
교 17
 
4.4%
학 16
 
4.2%
김 16
 
4.2%
장 15
 
3.9%
문 14
 
3.7%
수 13
 
3.4%
정 10
 
2.6%
우 9
 
2.3%
봉 9
 
2.3%
Other values (95) 239
62.4%
ASCII
ValueCountFrequency (%)
+ 2
100.0%

발생량(월)
Real number (ℝ)

Distinct96
Distinct (%)78.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1304.4262
Minimum120
Maximum5000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:40:37.595873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120
5-th percentile238.5
Q1500
median850
Q31637.5
95-th percentile3996
Maximum5000
Range4880
Interquartile range (IQR)1137.5

Descriptive statistics

Standard deviation1152.2517
Coefficient of variation (CV)0.88333987
Kurtosis1.6671114
Mean1304.4262
Median Absolute Deviation (MAD)520
Skewness1.4934218
Sum159140
Variance1327684
MonotonicityNot monotonic
2023-12-11T01:40:37.749012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 6
 
4.9%
1000 3
 
2.5%
500 3
 
2.5%
600 3
 
2.5%
1500 3
 
2.5%
750 3
 
2.5%
200 2
 
1.6%
1100 2
 
1.6%
800 2
 
1.6%
330 2
 
1.6%
Other values (86) 93
76.2%
ValueCountFrequency (%)
120 1
0.8%
150 1
0.8%
200 2
1.6%
220 1
0.8%
230 1
0.8%
237 1
0.8%
267 1
0.8%
270 1
0.8%
275 1
0.8%
290 2
1.6%
ValueCountFrequency (%)
5000 1
0.8%
4800 1
0.8%
4643 1
0.8%
4516 1
0.8%
4387 1
0.8%
4322 1
0.8%
4000 1
0.8%
3920 1
0.8%
3530 1
0.8%
3340 1
0.8%

규모
Text

Distinct60
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T01:40:37.996747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0983607
Min length2

Characters and Unicode

Total characters378
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)28.7%

Sample

1st row230
2nd row1850
3rd row180
4th row100
5th row470
ValueCountFrequency (%)
180 8
 
6.6%
200 8
 
6.6%
100 6
 
4.9%
250 6
 
4.9%
350 5
 
4.1%
120 5
 
4.1%
150 5
 
4.1%
400 5
 
4.1%
300 3
 
2.5%
160 3
 
2.5%
Other values (50) 68
55.7%
2023-12-11T01:40:38.377472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 143
37.8%
1 58
15.3%
2 42
 
11.1%
5 30
 
7.9%
3 28
 
7.4%
8 26
 
6.9%
4 16
 
4.2%
6 13
 
3.4%
9 12
 
3.2%
7 6
 
1.6%
Other values (2) 4
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 374
98.9%
Other Punctuation 3
 
0.8%
Other Letter 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 143
38.2%
1 58
15.5%
2 42
 
11.2%
5 30
 
8.0%
3 28
 
7.5%
8 26
 
7.0%
4 16
 
4.3%
6 13
 
3.5%
9 12
 
3.2%
7 6
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Other Letter
ValueCountFrequency (%)
실 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 377
99.7%
Hangul 1
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 143
37.9%
1 58
15.4%
2 42
 
11.1%
5 30
 
8.0%
3 28
 
7.4%
8 26
 
6.9%
4 16
 
4.2%
6 13
 
3.4%
9 12
 
3.2%
7 6
 
1.6%
Hangul
ValueCountFrequency (%)
실 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 377
99.7%
Hangul 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 143
37.9%
1 58
15.4%
2 42
 
11.1%
5 30
 
8.0%
3 28
 
7.4%
8 26
 
6.9%
4 16
 
4.2%
6 13
 
3.4%
9 12
 
3.2%
7 6
 
1.6%
Hangul
ValueCountFrequency (%)
실 1
100.0%

사업장 구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
집단급식소
117 
식품접객업
 
4
관광숙박업
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row집단급식소
2nd row집단급식소
3rd row집단급식소
4th row집단급식소
5th row집단급식소

Common Values

ValueCountFrequency (%)
집단급식소 117
95.9%
식품접객업 4
 
3.3%
관광숙박업 1
 
0.8%

Length

2023-12-11T01:40:38.533256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:40:38.630306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 117
95.9%
식품접객업 4
 
3.3%
관광숙박업 1
 
0.8%

Interactions

2023-12-11T01:40:34.996286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:40:34.834097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:40:35.095480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:40:34.917421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:40:38.701638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대표자발생량(월)규모사업장 구분
연번1.0000.5250.0000.4330.178
대표자0.5251.0000.0000.9571.000
발생량(월)0.0000.0001.0000.9550.198
규모0.4330.9570.9551.0001.000
사업장 구분0.1781.0000.1981.0001.000
2023-12-11T01:40:38.795599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번발생량(월)사업장 구분
연번1.000-0.1110.101
발생량(월)-0.1111.0000.114
사업장 구분0.1010.1141.000

Missing values

2023-12-11T01:40:35.191158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:40:35.290496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번상호소재지대표자발생량(월)규모사업장 구분
01보광유치원부산광역시 강서구 공항진입로 28(대저2동)박봉호200230집단급식소
12명호초등학교부산광역시 강서구 명지오션시티2로 41(명지2동)최석진48001850집단급식소
23부산혜원학교부산광역시 강서구 공항로 1319(대저1동)학교장438180집단급식소
34두빛나래강서브라이트점부산광역시 강서구 공항로 811번길 10(대저2동)김기민+이윤서237100집단급식소
45부산강서고등학교부산광역시 강서구 공항로1309번길96-7(대저2동)학교장1400470집단급식소
56두빛나래강서구청점부산광역시 강서구 낙동북로 477(대저1동)정은숙542180집단급식소
67대상초등학교부산광역시 강서구 대저로 249(대저1동)대상초등학교장780150집단급식소
78부산한솔학교부산광역시 강서구 명지오션시티 2로 86(명지2동)신계자2560385집단급식소
89대저고등학교부산광역시 강서구 공항로 811번길 46(대저2동)구명숙970420집단급식소
910명지중학교부산광역시 강서구 명지국제6로318번길 54(명지1동)황애록2200753집단급식소
연번상호소재지대표자발생량(월)규모사업장 구분
112113무궁화어린이집부산 강서구 명지국제7로 190이덕재645320집단급식소
113114㈜씨엠부산케이블2공장부산 강서구 과학산단2로 19번길 183(지사동)박기홍2100300집단급식소
114115명지센텀유치원부산 강서구 명지오션시티9로 53(명지2동)이호민300300집단급식소
115116㈜노바인터내쇼널부산 강서구 범방2로 73이효1180350집단급식소
116117㈜풀무원푸드앤컬처에스엔시스가리새3로 51, 2동이우봉600120집단급식소
117118명지꿈자람유치원명지국제8로199강기숙1075260집단급식소
118119명지가온유치원명지오션시티6로69방주은2520390집단급식소
119120㈜아워홈티케이지에코머티리얼부산점녹산산단382로49번길 11구지은1283480집단급식소
120121쿠우쿠우프리미엄명지직영점부산시 강서구 명지오션시티11로66(명지동) 10층김동현3340981.12식품접객업
121122명문초등학교명지국제8로 195학교장1500320집단급식소